Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes explores Leveraging determinantal point processes to intelligently curate training data for machine learning interatomic potentials, reducing computational costs and improving model accuracy.. Commercial viability score: 4/10 in ML for Materials Science.
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